DocumentCode :
3723863
Title :
Locating and sizing energy storage systems for distribution feeder expansion planning
Author :
Cameron MacRae;Melih Ozlen;Andreas Ernst;Sam Behrens
Author_Institution :
School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476, Melbourne VIC 3001, Australia
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we present a mixed integer programming (MIP) formulation of an electricity network expansion planning model that considers the location, sizing, and operation of energy storage systems (ESS) as well as additional circuits. The model includes constraints to manage generator ramp rates, ESS charge/discharge rates, and losses on power transferred to, from, and within storage. Two new test networks based on representative feeder taxonomies identified by the National Feeder Taxonomy Study are used to demonstrate the use of the model, and a procedure to create other such test systems is defined. We find that ESS are typically omitted from the expansion plan as the cost of installing the new circuits is currently less than the cost of distribution scale energy storage.
Keywords :
"Computational modeling","Integrated circuit modeling","Energy storage"
Publisher :
ieee
Conference_Titel :
TENCON 2015 - 2015 IEEE Region 10 Conference
ISSN :
2159-3442
Print_ISBN :
978-1-4799-8639-2
Electronic_ISBN :
2159-3450
Type :
conf
DOI :
10.1109/TENCON.2015.7373107
Filename :
7373107
Link To Document :
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